[][src]Struct rusoto_comprehend::EntityTypesEvaluationMetrics

pub struct EntityTypesEvaluationMetrics {
    pub f1_score: Option<f64>,
    pub precision: Option<f64>,
    pub recall: Option<f64>,
}

Detailed information about the accuracy of an entity recognizer for a specific entity type.

Fields

f1_score: Option<f64>

A measure of how accurate the recognizer results are for for a specific entity type in the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

precision: Option<f64>

A measure of the usefulness of the recognizer results for a specific entity type in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.

recall: Option<f64>

A measure of how complete the recognizer results are for a specific entity type in the test data. High recall means that the recognizer returned most of the relevant results.

Trait Implementations

impl Clone for EntityTypesEvaluationMetrics[src]

impl Debug for EntityTypesEvaluationMetrics[src]

impl Default for EntityTypesEvaluationMetrics[src]

impl<'de> Deserialize<'de> for EntityTypesEvaluationMetrics[src]

impl PartialEq<EntityTypesEvaluationMetrics> for EntityTypesEvaluationMetrics[src]

impl StructuralPartialEq for EntityTypesEvaluationMetrics[src]

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